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-performance servers, with attention to standardized file structures, metadata curation, and secure access controls. In parallel, the successful applicant also manages and maintains an internal project tracker—a
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proactive attitude. Strong organizational skills, attention to detail, and ability to manage priorities effectively. Advanced proficiency in Microsoft Office Suite. Experience with scientific programming
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support from the University in preparing and developing the program application, including budget planning, proposal development and editing. This process runs in parallel with an academic appointment, in
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institutional recognition guidelines Envisions and creates a plan to implement, and manage, for a comprehensive donor recognition and stewardship program in parallel with the university's donor recognition
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
the logistical execution of events and programs, developing communication strategies, evaluating outcomes, and coordinating internal funding competitions. In parallel, the Advisor serves as a key resource on
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ECSE 223: Model-based Programming; Gunter Mussbacher ECSE 250: Fundamentals of Software Development; Hsiu-Chin Lin ECSE 251: Electric and Magnetic Fields; Milicia Popovich ECSE 307: Linear Systems
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programs. We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global
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, institutes and programs. We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 3 months ago
imaging system based on the random access parallel imaging (RAP) system platform (https://doi.org/10.7554/eLife.56426 ). The RAP platform quickly collects high-contrast images in multi-well plates using
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libraries like NCCL/RCCL and experience with high performance computing middleware is highly desirable. Optimizations of large parallel code bases and experience with GPU programming languages such as CUDA